Principles Of Artificial Neural Networks (3rd Edition)
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A01=Daniel Graupe
Author_Daniel Graupe
Category=UYQN
Cell-Shape Recognition
Data Mining
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eq_computing
eq_isMigrated=1
eq_isMigrated=2
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Mathematical Derivations
Medical Applications
Micro-Trading
Neural Networks
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Product details
- ISBN 9789814522731
- Publication Date: 18 Sep 2013
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond.This volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications of neural networks in various fields, ranging from cell-shape classification to micro-trading in finance and to constellation recognition — all with their respective source codes. These case studies demonstrate to the readers in detail how such case studies are designed and executed and how their specific results are obtained.The book is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining.
